关键词: 全空间信息系统, 时空数据模型, 多粒度时空对象, 作战实体, 对象化建模, 实体多维特征, 对象化描述方法, 作战实体可视化

Abstract:

At present, military combat data for modern warfare come from a wide variety of sources. However, the research on data modelling of military operations mainly focuses on the description of its spatio-temporal attributes. It lacks complete description for the diversified characteristics of combat entities and is difficult to mine multi-dimensional combat information. According to the framework of multi-granularity spatio-temporal object data model, spatio-temporal entities are simplified and abstracted as data models to summarize and express the complex real world. On the basis of analyzing the information and characteristics of combat entities, this paper builds the combat entity object classes and object models based on the idea of multi-granularity spatio-temporal object modeling, and carries out the preliminary study of the abstraction and expression of the characteristics of spatio-temporal entities, such as association relationship, composition structure, and behavior. We take the U.S. Kaiketi Task Force in the Afghan war as an example. The experimental results show that the multi-granularity spatio-temporal object modeling method provides a new idea for the expression of multi-dimensional characteristics of combat entities, and can mine the combat information precisely and comprehensively, which provides a theoretical basis for fine combat research.

Key words: Key Words：pan-spatial information system, spatio-temporal data model, multi-granularity spatio-temporal object, combat entities, object modeling, multidimensional characteristics of entities, object-oriented description method, visualization of combat entities